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bloggerblogger 命令行

Agent Skill

blogger 用于处理 GitHub 仓库、Issue、Pull Request 和代码协作信息,适合在 Codex、Claude、Cursor、Gemini CLI 中需要围绕仓库状态、代码变更或协作事项进行整理时使用。可结合来源仓库、安装命令和原始 README 继续核验具体用法。安装前建议确认权限范围、维护状态,以及是否会触发联网、命令执行或文件读写。

总安装

349

周安装

14

GitHub Stars

1

下载量

113
CodexClaudeCursorGemini CLI

安装说明

本站只整理中文说明和来源信息,不托管安装包,也不代用户安装。

GitHub

来源数

2

许可证

unknown

最后核验

2026-05-01

来源状态

来源可访问

安装方式

通过对话安装

复制提示词发给支持本地命令或 Skills 的 AI 助手,先确认命令和权限,再让它执行。

请帮我安装这个 Agent Skill:blogger(blogger 命令行)
来源仓库:https://github.com/sebastiaanwouters/dotagents
仓库路径:skills/blogger
安装命令:
npx skills add https://github.com/sebastiaanwouters/dotagents --skill blogger
安装前请先检查当前环境是否支持对应 CLI,并向我确认将要执行的命令、安装目录、联网范围和文件读写权限;确认后再执行。

命令行安装

复制命令到本机终端执行。该命令会通过 npx skills 从第三方来源获取 Skill;本站只展示命令,不托管安装包,也不自动执行。

skills.shnpx skills
npx skills add https://github.com/sebastiaanwouters/dotagents --skill blogger

简介

blogger 用于创建交互式技术长文,融合 SamWho、Josh Comeau 与 Grokking 的教学风格,适合在 Codex、Claude、Cursor、Gemini CLI 中教授复杂概念时使用。

  • 它采用渐进披露与动手演示相结合的方式,输出可跨栈交付的内容规格。
  • 使用时加载蓝图与交互设计参考文件,按需调用样式指南。
  • 安装前建议确认是否依赖特定前端框架及演示环境部署要求。
  • blogger 属于前端设计类 Skill,可作为该场景下的辅助能力补充。

SKILL.md

Interactive Tech Post (SamWho + Josh + Grokking)

Overview

Create long-form technical posts that teach hard ideas with progressive buildup, strong narrative pacing, and hands-on interactivity. Blend SamWho-style bottom-up model building, Josh Comeau-style friendly demo-led teaching, and Grokking-style chapter pacing with active recall checkpoints. Deliver content and interaction specifications that remain portable across tooling stacks.

Use progressive disclosure:

  • Start with references/post-blueprint.md and references/interaction-design.md.
  • Pull style references only as needed: references/samwho-style-analysis.md, references/joshwcomeau-style-analysis.md, references/grokking-style-analysis.md.
  • Keep context lean; do not load references that are not needed for the requested output mode.

Standalone + tech-neutral constraints:

  • Output must remain useful without requiring external URLs, proprietary tools, or specific frameworks.
  • Default to plain markdown, pseudocode, and abstract state models unless the user asks for a concrete stack.
  • Avoid web-specific assumptions unless the user topic is explicitly web-focused.

Workflow

  1. Lock the brief in one pass.
  2. Build a first-principles arc.
  3. Attach interactivity to each core concept.
  4. Add active-learning checkpoints and mini exercises.
  5. Draft the post in SamWho + Josh + Grokking-informed voice.
  6. Add implementation-agnostic interaction specs.
  7. Run interaction utility + visual polish pass.
  8. Run a quality pass against the checklist.

1. Lock The Brief

Capture or infer:

  • Target concept and boundary of the topic.
  • Reader level and assumed prerequisites.
  • Desired output depth (outline, partial draft, full post, full post + code).
  • Delivery context: markdown article, static site page, or docs portal.
  • Constraints: length, tone, production-readiness, accessibility.
  • Learning format preference: tutorial-only, tutorial + exercises, or tutorial + exercises + solutions.

If key info is missing, ask up to 3 concise questions. If questions are not possible, state assumptions explicitly and continue.

2. Build A First-Principles Arc

Use this section order unless the user asks otherwise:

  1. Hook with a real problem.
  2. Reader roadmap (what is covered, what is not).
  3. Minimal mental model (with analogy if helpful).
  4. First interactive toy model.
  5. Checkpoint question ("predict before reveal").
  6. Controlled complexity increase.
  7. Mini exercise with hint or solution outline.
  8. Trade-offs, support constraints, and failure modes.
  9. Practical use in production.
  10. Recap and "what to explore next."

Keep the buildup strict: each section depends only on concepts already introduced.

3. Attach Interactivity To Concepts

For each major section, add at least one of:

  • Slider-driven parameter exploration.
  • Step-through simulation with play/pause.
  • Click-to-toggle state transitions.
  • "Predict then reveal" checkpoint.
  • Small sandbox input/output experiment.
  • Inline code playground when syntax learning matters.
  • Non-UI alternative (state table, step trace, or prompt/answer block) when widgets are unavailable.

For every interactive element include:

  • Learning goal.
  • Misconception or confusion it resolves.
  • Control(s) available to the reader.
  • State model.
  • Success criteria (what the reader should notice).
  • Before/after mental-model delta.
  • Aesthetic intent (clarity, focus, and visual tone).

4. Add Active-Learning Checkpoints

For each major concept, include at least one:

  • Prediction prompt.
  • Short tracing exercise.
  • "Spot the bug/trade-off" prompt.

For each exercise include:

  • Expected time-to-complete (for example: "1-2 minutes").
  • Optional hint.
  • Concise answer or solution outline.

5. Draft In SamWho + Josh + Grokking-Informed Voice

Write with these constraints:

  • Start with reader empathy and practical stakes before formal definitions.
  • Teach with concrete examples before abstraction.
  • Use short paragraphs and direct language.
  • Use one clear section objective at a time.
  • Use a conversational teaching voice without filler.
  • Add short rhetorical questions where they reduce confusion.
  • Explain trade-offs instead of declaring absolutes.
  • Include caution notes when simplifications diverge from reality.
  • Include support/accessibility caveats when relevant to real usage.
  • Add short "what to notice" prompts around interactions.
  • Add short recap bullets after major sections.
  • Keep terminology and examples portable across domains.
  • Treat beauty as functional: polish should improve focus, comprehension, and delight without distracting from the concept.

Do not copy sentences, branding, or character assets from SamWho, Josh W. Comeau, or Grokking books. Emulate structure and pedagogy only.

6. Add Interaction Specs (No Framework Lock-In)

When user requests build-ready guidance, produce:

  1. Interaction spec (controls, states, transitions, render behavior).
  2. Pseudocode or state-machine notation for the interaction loop.
  3. Data contract for input/output and reset semantics.

Do not provide framework-specific instructions unless the user explicitly asks to expand scope.

7. Run Interaction Utility + Visual Polish Pass

Every interaction must pass all gates:

  • Utility gate: removing the interaction would meaningfully reduce understanding.
  • Insight gate: interaction reveals a non-obvious behavior, trade-off, or failure mode.
  • Simplicity gate: controls are minimal and staged (do not front-load too many knobs).
  • Feedback gate: each user action has immediate, interpretable output.
  • Beauty gate: visual hierarchy, spacing, and motion improve clarity rather than decoration.

If any gate fails, simplify, replace, or remove the interaction.

8. Run Quality Checklist

Ship only when all checks pass:

  • Concept is introduced bottom-up.
  • Every section has a clear learning objective.
  • Interactivity reinforces the concept, not decoration.
  • Terminology is defined before use.
  • Trade-offs and limitations are explicit.
  • Long posts include a clear roadmap or table of contents.
  • Reader gets at least one explicit "what to notice" prompt per interaction block.
  • Each major concept includes an active-learning checkpoint.
  • Exercises include hint/solution support when requested.
  • Each interaction addresses a specific misconception or uncertainty.
  • Interactions meet utility and polish gates, not just novelty.
  • Conclusion summarizes and suggests next experiments.
  • Output remains implementation-agnostic and portable.

Output Modes

Outline Mode

Return:

  • Working title options.
  • Section-by-section teaching arc.
  • Interactive ideas per section.
  • Checkpoint/exercise ideas per section.
  • Prerequisites and estimated reading time.

Draft Mode

Return:

  • Full post draft.
  • Inline callouts for interactive components.
  • Inline callouts for checkpoint questions/exercises.
  • Notes for diagrams or animations.

Build Mode

Return:

  • Full post draft.
  • Interaction spec with pseudocode/state model.
  • Exercise/checkpoint spec with hint and reveal behavior.
  • Interaction utility + visual polish checklist.
  • Brief test checklist for interaction behavior.

References

  • references/samwho-style-analysis.md: Patterns extracted from representative SamWho essays.
  • references/joshwcomeau-style-analysis.md: Patterns extracted from representative Josh W. Comeau tutorials and essays.
  • references/grokking-style-analysis.md: Patterns extracted from Grokking-style educational writing.
  • references/post-blueprint.md: Reusable section templates and storytelling beats.
  • references/interaction-design.md: Implementation-agnostic interactivity patterns and QA checks.

适合场景

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02

需要根据任务场景推荐可安装能力包时

03

需要对比不同来源的安装命令和来源信息时

能力概览

能力 1

按任务关键词查找相关 Skills

能力 2

展示可复制的安装命令

能力 3

保留来源站点、仓库和原始说明,方便继续核验

能力 4

展示第三方安全扫描或审计结果

安装后应在对应宿主中按原始 README 的触发条件使用;具体调用方式请以来源页面和 README 为准。

平台分布

Codex

36.27%
按下载量换算41

Claude

30.22%
按下载量换算34

Cursor

19.58%
按下载量换算22

Gemini CLI

10.27%
按下载量换算12

安全审计

Gen Agent Trust Hub

通过

Socket

通过

Snyk

通过

权限和风险

只读

该 Skill 主要提供规则、说明或参考内容,本身偏只读;真正读写文件、联网或执行命令仍取决于宿主 Agent 的任务。

安装前确认

本站仅展示第三方公开信息,不托管安装包,不提供自动安装或运行环境。安装前应自行审查源码、依赖和命令行为。当前只有一个来源,正式发布前建议补源仓库或其他目录站核验。

来源信息

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